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Researchers at the MIT Media Lab, think that facial recognition software has problems recognizing black faces because its algorithms are usually written by white engineers who dominate the technology sector. These engineers build on pre-existing code libraries, typically written by other white engineers.

RUSI's report found that the key limit on the use of emerging technology in policing was data itself, with much crime underreported, making the data unreliable.

Big data is now moving from the sole care of data scientists and becoming accessible to employees throughout organizations. The mystique surrounding data analytics is falling away, with tools designed to let non-technically-minded people understand metrics.

"The "big data, little brain" phenomenon is defined as managers who rely excessively on data to guide their decisions, abdicating their knowledge and experience."

After decades of extravagant promises and frustrating disappointments, artificial intelligence (AI) is finally starting to deliver real-life benefits to early-adopting companies.

"The ability for machines to see, understand and interact with the world is growing at a tremendous rate and is only increasing with the volume of data that helps them learn and understand even faster. Big data is the fuel that powers AI."

"The Digital Universe Grows, and So Does The Digital Cemetery"

"Morgan Stanley is about to augment its 16,000 financial advisers with machine-learning algorithms that suggest trades, take over routine tasks and send reminders when your birthday is near."

"Big data's potential just keeps growing. Taking full advantage means companies must incorporate analytics into their strategic vision and use it to make better, faster decisions."

While AI is a master of pattern recognition, algorithms can only operate on parts of the world that humans can precisely describe to it.

The challenge for the 21 century is to say, OK we've got the devices which can collect and store this data, but what shall we do with that data and what are the advantages of understanding that data, will it help us navigate society better and to help us improve the way that we live? And there are lots of different aspects to working that out.

"Google subsidiary DeepMind has accomplished some amazing things over the past couple of years, from beating humans at their own game to saving its parent company money on its electricity bill. Now, however, it's coming under major scrutiny because of the specifics of a deal with the United Kingdom's National Health Service."

Our local hospital is part of the Royal Free Trust (the body that gave Deepmind MY data). The trust has never consulted me on this. I don't care whether it has a legal duty to do so or not, I believe it has a moral obligation to tell me what it is doing and why. Deepmind may have altruistic public health motives (hmmm), but this silence is destroying trust (pardon the pun). It's about time the data Ombudsmen did their job.

Data should be Findable Data should be Accessible Data should be Interoperable Data should be Re-usable

Predictive analytics uses many techniques from data mining, statistics, machine learning and AI.

Executives want greater speed and sophistication in their decision-making, but most say their ambition is greater than what their organisations are ready for.

Syngenta is a global agriculture business that helps farmers make better use of their available resources, primarily through agrochemical and seed production. In order to continue to advance crop productivity, it invested more than $1.4bn in research and development (R&D) across 150 international sites in 2014.

The use of machine learning, expert systems and analytics in combination with big data, is the natural evolution of what has been two different disciplines. They are converging.

Every industry is becoming an analytics industry because of the inclusion of data-driven technology. Traditional industries, such as healthcare and finance, are actually purchasing analytic technologies with the intent of becoming digital leaders in their industry. IoT is regarded as a future trend, and according to Gartner, by 2018, six billion connected things will be requesting data support. This requires tools that are future-proofed to handle the mass and types of data that Gartner is forecasting.

BM's Watson Artificial Intelligence System is capable of searching across vast repositories of unstructured data and returning answers to natural language queries, but it won't replace humans. Instead, the system will augment humans and help us to make better decisions.

Curated website of all things about Big Data, Analytics etc.